Mina Wang
Impact in
- Cancer Research top 10%
- Molecular Biology top 10%
- DNA and Nucleic Acid Chemistry
- DNA Repair Mechanisms
- Metabolism, Diabetes, and Cancer
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
Papers in
-
- DNA and Nucleic Acid Chemistry 9
- DNA Repair Mechanisms 7
-
- Healthcare and Venom Research 3
- Co-authors
- Zehuan Liao (14 shared papers)Peng Wei (5 shared papers)William H. Konigsberg (9 shared papers)Xuexin Li (5 shared papers)Yan Tan (2 shared papers)Yingying Yang (4 shared papers)Weiyuan Li (1 shared paper)Guobin Luo (1 shared paper)
- Journals
- Biochemistry (7 papers)Journal of Pain Research (6 papers)Molecules (2 papers)World Journal of Diabetes (2 papers)Frontiers in Oncology (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Mina Wang
50 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 128
- Cancer Research 206
- Molecular Biology 832
- Biomaterials 120
- Complementary and alternative medicine 73
- Physiology 185
Countries citing papers authored by Mina Wang
This map shows the geographic impact of Mina Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mina Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mina Wang more than expected).
Fields of papers citing papers by Mina Wang
This network shows the impact of papers produced by Mina Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mina Wang. The network helps show where Mina Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mina Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 156 | |
| 2 | 2021 | 136 | |
| 3 | 2007 | 120 | |
| 4 | 2021 | 111 | |
| 5 | 2000 | 93 | |
| 6 | 2020 | 92 | |
| 7 | 2023 | 79 | |
| 8 | 2021 | 75 | |
| 9 | 2020 | 56 | |
| 10 | 2021 | 42 | |
| 11 | 2011 | 40 | |
| 12 | 2010 | 40 | |
| 13 | 2021 | 39 | |
| 14 | 2014 | 33 | |
| 15 | 2022 | 29 | |
| 16 | 2022 | 27 | |
| 17 | 2009 | 25 | |
| 18 | 2020 | 23 | |
| 19 | 2010 | 19 | |
| 20 | 2010 | 18 |
About Mina Wang
Mina Wang is a scholar working on Molecular Biology, Pharmacology, Complementary and alternative medicine, Cancer Research and Physiology, having authored 51 papers that have together received 1.4k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (9 papers), DNA Repair Mechanisms (7 papers), Acupuncture Treatment Research Studies (5 papers), Healthcare and Venom Research (3 papers), Traditional Chinese Medicine Analysis (3 papers), Phytochemicals and Antioxidant Activities (3 papers), Peptidase Inhibition and Analysis (3 papers) and Postharvest Quality and Shelf Life Management (3 papers). The work is most often cited by research in Cancer Research (206 citations), Molecular Biology (832 citations), Biomaterials (120 citations), Complementary and alternative medicine (73 citations) and Physiology (185 citations). Mina Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Zehuan Liao, Peng Wei, William H. Konigsberg, Xuexin Li, Yan Tan, Yingying Yang, Weiyuan Li, Guobin Luo, Xiaoliang Sunney Xie and Yang Ke. Their work appears in journals such as Biochemistry, Journal of Pain Research, Molecules, World Journal of Diabetes and Frontiers in Oncology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.